88 - A Structural Probe for Finding Syntax in Word Representations, with John Hewitt
In this episode, we invite John Hewitt to discuss his take on how to probe word embeddings for syntactic information. The basic idea is to project word embeddings to a vector space where the L2 distan...
7 Mai 201940min
87 - Pathologies of Neural Models Make Interpretation Difficult, with Shi Feng
In this episode, Shi Feng joins us to discuss his recent work on identifying pathological behaviors of neural models for NLP tasks. Shi uses input word gradients to identify the least important word f...
25 Apr 201933min
86 - NLP for Evidence-based Medicine, with Byron Wallace
In this episode, Byron Wallace tells us about interdisciplinary work between evidence based medicine and natural language processing. We discuss extracting PICO frames from articles describing clinica...
15 Apr 201932min
85 - Stress in Research, with Charles Sutton
In this episode, Charles Sutton walks us through common sources of stress for researchers and suggests coping strategies to maintain your sanity. We talk about how pursuing a research career is simila...
29 Mar 201936min
84 - Large Teams Develop, Small Groups Disrupt, with Lingfei Wu
In a recent Nature paper, Lingfei Wu (Ling) suggests that smaller teams of scientists tend to do more disruptive work. In this episode, we invite Ling to discuss their results, how they define disrupt...
26 Mar 201938min
83 - Knowledge Base Construction, with Sebastian Riedel
In this episode, we invite Sebastian Riedel to talk about knowledge base construction (KBC). Why is it an important research area? What are the tradeoffs between using an open vs. closed schema? What ...
13 Mar 201938min
82 - Visual Reasoning, with Yoav Artzi
In this episode, Yoav Artzi joins us to talk about visual reasoning. We start by defining what visual reasoning is, then discuss the pros and cons of different tasks and datasets. We discuss some of t...
6 Mar 201942min
81 - BlackboxNLP, with Afra Alishahi and Tal Linzen
Neural models recently resulted in large performance improvements in various NLP problems, but our understanding of what and how the models learn remains fairly limited. In this episode, Tal Linzen an...
6 Feb 201931min
